LEADER 05228cam a2200457 i 4500001 9982378853506421 005 20201002151615.0 006 m o d 007 cr |n||||||||| 008 130211s2013 enk ob 001 0 eng d 020 9781118351475 (electronic bk.) 020 1118351479 (electronic bk.) 020 |z9781118351482 020 |z1118351487 035 (OCoLC)ocn827208633 035 (OCoLC)827208633 035 (NjP)8237885-princetondb 035 |z(NjP)Voyager8237885 040 EBLCP |beng |cEBLCP |dOCLCQ |dDG1 |dNOC |dOCLCO |dDEBSZ |dNjP 050 4 GE45.M37 |b.E593 2013 082 04 333.7015118 100 1 Wainwright, John, |d1967- |eauthor. |0http://id.loc.gov/authorities/names/n2003001584 245 10 Environmental modelling |h[electronic resource] : |bfinding simplicity in complexity / |cJohn Wainwright, Mark Mulligan. 250 2nd ed. 260 Chicester : |bWiley-Blackwell, |c2013. 300 1 online resource (495 p.) 505 0 Cover; Title Page; Copyright; Contents; Preface; Preface to the First Edition; List of Contributors; Part I Model Building; Chapter 1 Introduction; 1.1 Introduction; 1.2 Why model the environment?; 1.3 Why simplicity and complexity?; 1.4 How to use this book; 1.5 The book's web site; References; Chapter 2 Modelling and Model Building; 2.1 The role of modelling in environmental research; 2.2 Approaches to model building: chickens, eggs, models and parameters?; 2.3 Testing models; 2.4 Sensitivity analysis and its role; 2.5 Errors and uncertainty; 2.6 Conclusions; References. 505 8 Chapter 3 Time Series: Analysis and Modelling3.1 Introduction; 3.2 Examples of environmental time series; 3.3 Frequency-size distribution of values in a time series; 3.4 White noises and Brownian motions; 3.5 Persistence; 3.6 Other time-series models; 3.7 Discussion and summary; References; Chapter 4 Non-Linear Dynamics, Self-Organization and Cellular Automata Models; 4.1 Introduction; 4.2 Self-organization in complex systems; 4.3 Cellular automaton models; 4.4 Case study: modelling rill initiation and growth; 4.5 Summary and conclusions; 4.6 Acknowledgements; References. 505 8 Chapter 5 Spatial Modelling and Scaling Issues5.1 Introduction; 5.2 Scale and scaling; 5.3 Causes of scaling problems; 5.4 Scaling issues of input parameters and possible solutions; 5.5 Methodology for scaling physically based models; 5.6 Scaling land-surface parameters for a soil-erosion model: a case study; 5.7 Conclusion; References; Chapter 6 Environmental Applications of Computational Fluid Dynamics; 6.1 Introduction; 6.2 CFD fundamentals; 6.3 Applications of CFD in environmental modelling; 6.4 Conclusions; References. 505 8 Chapter 7 Data-Based Mechanistic Modelling and the Emulation of Large Environmental System Models7.1 Introduction; 7.2 Philosophies of science and modelling; 7.3 Statistical identification, estimation and validation; 7.4 Data-based mechanistic (DBM) modelling; 7.5 The statistical tools of DBM modelling; 7.6 Practical example; 7.7 The reduced-order modelling of large computer-simulation models; 7.8 The dynamic emulation of large computer-simulation models; 7.9 Conclusions; References; Chapter 8 Stochastic versus Deterministic Approaches; 8.1 Introduction; 8.2 A philosophical perspective. 505 8 8.3 Tools and methods8.4 A practical illustration in Oman; 8.5 Discussion; References; Part II The State of the Art in Environmental Modelling; Chapter 9 Climate and Climate-System Modelling; 9.1 The complexity; 9.2 Finding the simplicity; 9.3 The research frontier; 9.4 Online material; References; Chapter 10 Soil and Hillslope (Eco)Hydrology; 10.1 Hillslope e-c-o-hydrology?; 10.2 Tyger, tyger ... ; 10.3 Nobody loves me, everybody hates me ... ; 10.4 Memories; 10.5 I'll avoid you as long as I can?; 10.6 Acknowledgements; References. 505 8 Chapter 11 Modelling Catchment and Fluvial Processes and their Interactions. 520 Simulation models are increasingly used to investigate processes and solve practical problems in a wide variety of disciplines. Central to the concept of this book is the idea that environmental systems are complex, open systems. The approach that the authors take is to present the diversity of approaches to dealing with environmental complexity and to encourage readers to make comparisons between these approaches and between different disciplines. Now thoroughly revised and updated the second edition of this successful and well respected text book is an indispensible aid to all Environmental scientists. 504 Includes bibliographical references and index. 588 Description based on print version record. 599 Princeton permanent acquisition. 650 0 Environmental sciences |xMathematical models. |0http://id.loc.gov/authorities/subjects/sh2009103154 700 1 Mulligan, Mark, |d1970- |eauthor. |0http://id.loc.gov/authorities/names/n2003014950 776 08 |iPrint version:Wainwright, John |tEnvironmental Modelling : Finding Simplicity in Complexity |dChicester : Wiley, c2013 |z9780470749111 902 jwl |bm |6a |7m |dw |f0 |e20140411 904 nk |bo |hm |cb |e20140409